Comparison of Support Vector Machine (SVM) and Random Forest (RF) Algorithm Performance with Random Undersampling Technique to Predict Gestational Diabetes Mellitus Risk
Gestational Diabetes Mellitus (GDM) is a condition of glucose intolerance that develops during pregnancy until the birth process, which is characterized by an abnormal increase in blood sugar levels. Accurate early diagnosis is very important to provide information that can accelerate the treatment...
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| Materialtyp: | Artigo |
| Språk: | Inglês |
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Politeknik Negeri Batam
2025-03-01
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| Serie: | Journal of Applied Informatics and Computing |
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| Länkar: | https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/9009 |
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